| Variable | Overall, N = 95 | accepted, N = 551 | not accepted, N = 401 | p-value2 |
|---|---|---|---|---|
| Year | 0.10 | |||
| 2019 | 21 (22%) | 10 (18%) | 11 (28%) | |
| 2014 | 15 (16%) | 6 (11%) | 9 (22%) | |
| 2015 | 15 (16%) | 13 (24%) | 2 (5.0%) | |
| 2016 | 15 (16%) | 8 (15%) | 7 (18%) | |
| 2017 | 15 (16%) | 8 (15%) | 7 (18%) | |
| 2018 | 14 (15%) | 10 (18%) | 4 (10%) | |
| Quarter | 0.2 | |||
| 3 | 28 (29%) | 18 (33%) | 10 (25%) | |
| 4 | 26 (27%) | 18 (33%) | 8 (20%) | |
| 1 | 25 (26%) | 13 (24%) | 12 (30%) | |
| 2 | 16 (17%) | 6 (11%) | 10 (25%) | |
| Recipient | 0.089 | |||
| KY | 10 (11%) | 5 (9.1%) | 5 (12%) | |
| WI | 9 (9.5%) | 4 (7.3%) | 5 (12%) | |
| MA | 8 (8.4%) | 6 (11%) | 2 (5.0%) | |
| UT | 7 (7.4%) | 5 (9.1%) | 2 (5.0%) | |
| NYC | 6 (6.3%) | 3 (5.5%) | 3 (7.5%) | |
| NYS | 6 (6.3%) | 2 (3.6%) | 4 (10%) | |
| FL | 5 (5.3%) | 4 (7.3%) | 1 (2.5%) | |
| NJ | 5 (5.3%) | 3 (5.5%) | 2 (5.0%) | |
| CA | 4 (4.2%) | 4 (7.3%) | 0 (0%) | |
| ME | 4 (4.2%) | 1 (1.8%) | 3 (7.5%) | |
| MN | 4 (4.2%) | 4 (7.3%) | 0 (0%) | |
| WA | 4 (4.2%) | 3 (5.5%) | 1 (2.5%) | |
| CO | 3 (3.2%) | 3 (5.5%) | 0 (0%) | |
| MD | 3 (3.2%) | 1 (1.8%) | 2 (5.0%) | |
| MO | 3 (3.2%) | 1 (1.8%) | 2 (5.0%) | |
| NH | 3 (3.2%) | 0 (0%) | 3 (7.5%) | |
| CT | 2 (2.1%) | 0 (0%) | 2 (5.0%) | |
| IA | 2 (2.1%) | 2 (3.6%) | 0 (0%) | |
| LA | 1 (1.1%) | 0 (0%) | 1 (2.5%) | |
| NM | 1 (1.1%) | 0 (0%) | 1 (2.5%) | |
| OR | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| RI | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| SC | 1 (1.1%) | 0 (0%) | 1 (2.5%) | |
| UH | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| VT | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| Start category | 0.084 | |||
| request | 52 (55%) | 34 (62%) | 18 (45%) | |
| routine | 38 (40%) | 17 (31%) | 21 (52%) | |
| response | 5 (5.3%) | 4 (7.3%) | 1 (2.5%) | |
| Problem category | 0.4 | |||
| Data or information gap | 40 (42%) | 23 (42%) | 17 (42%) | |
| Need for technical expertise | 24 (25%) | 11 (20%) | 13 (32%) | |
| Potential disease cluster/increased rates | 11 (12%) | 6 (11%) | 5 (12%) | |
| Potential exposure | 11 (12%) | 9 (16%) | 2 (5.0%) | |
| Potential association between health and exposure | 9 (9.5%) | 6 (11%) | 3 (7.5%) | |
| Primary EH topic | 0.5 | |||
| Multiple | 18 (19%) | 8 (15%) | 10 (25%) | |
| Lead poisoning | 11 (12%) | 7 (13%) | 4 (10%) | |
| Cancer | 9 (9.5%) | 5 (9.1%) | 4 (10%) | |
| Air Quality | 7 (7.4%) | 6 (11%) | 1 (2.5%) | |
| Radon | 7 (7.4%) | 4 (7.3%) | 3 (7.5%) | |
| Asthma | 4 (4.2%) | 3 (5.5%) | 1 (2.5%) | |
| Biomonitoring | 4 (4.2%) | 3 (5.5%) | 1 (2.5%) | |
| Community drinking water | 4 (4.2%) | 2 (3.6%) | 2 (5.0%) | |
| Carbon monoxide poisoning | 3 (3.2%) | 0 (0%) | 3 (7.5%) | |
| Community characteristics | 3 (3.2%) | 1 (1.8%) | 2 (5.0%) | |
| Heat Stress Illness | 3 (3.2%) | 1 (1.8%) | 2 (5.0%) | |
| Populations and Vulnerabilities | 3 (3.2%) | 2 (3.6%) | 1 (2.5%) | |
| Climate change | 2 (2.1%) | 1 (1.8%) | 1 (2.5%) | |
| Drought | 2 (2.1%) | 2 (3.6%) | 0 (0%) | |
| Immunization | 2 (2.1%) | 2 (3.6%) | 0 (0%) | |
| Private well water | 2 (2.1%) | 1 (1.8%) | 1 (2.5%) | |
| Toxic Substance Releases | 2 (2.1%) | 2 (3.6%) | 0 (0%) | |
| Vector-Borne Disease | 2 (2.1%) | 2 (3.6%) | 0 (0%) | |
| ALS | 1 (1.1%) | 0 (0%) | 1 (2.5%) | |
| Community design | 1 (1.1%) | 0 (0%) | 1 (2.5%) | |
| Hazardous waste site | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| Lyme Disease | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| Obesity | 1 (1.1%) | 0 (0%) | 1 (2.5%) | |
| Pesticide Exposures | 1 (1.1%) | 0 (0%) | 1 (2.5%) | |
| Reproductive and Birth Outcomes | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| Secondary EH topic | >0.9 | |||
| Community drinking water | 2 (33%) | 1 (25%) | 1 (50%) | |
| COPD | 1 (17%) | 1 (25%) | 0 (0%) | |
| Life Expectancy | 1 (17%) | 1 (25%) | 0 (0%) | |
| Populations and Vulnerabilities | 1 (17%) | 0 (0%) | 1 (50%) | |
| Traffic | 1 (17%) | 1 (25%) | 0 (0%) | |
| Tertiary EH topic | ||||
| Comminuty characteristics | 1 (50%) | 1 (50%) | 0 (NA%) | |
| Noise Pollution | 1 (50%) | 1 (50%) | 0 (NA%) | |
| Tracking data and tools leveraged | 76 (80%) | 44 (80%) | 32 (80%) | >0.9 |
| Tracking role: active or passive | >0.9 | |||
| Active | 80 (84%) | 47 (85%) | 33 (82%) | |
| Passive | 15 (16%) | 8 (15%) | 7 (18%) | |
| Tracking role | 0.8 | |||
| Provided expertise or recommendations | 36 (38%) | 19 (35%) | 17 (42%) | |
| Enhanced surveillance | 32 (34%) | 20 (36%) | 12 (30%) | |
| Provided training, outreach, or education | 12 (13%) | 6 (11%) | 6 (15%) | |
| Analyzed data | 11 (12%) | 7 (13%) | 4 (10%) | |
| Conducted an investigation | 4 (4.2%) | 3 (5.5%) | 1 (2.5%) | |
| Output reported | 84 (88%) | 53 (96%) | 31 (78%) | 0.007 |
| Output category | 0.2 | |||
| Additional data | 26 (31%) | 18 (34%) | 8 (26%) | |
| Tool | 17 (20%) | 11 (21%) | 6 (19%) | |
| Report | 12 (14%) | 8 (15%) | 4 (13%) | |
| Communication material | 10 (12%) | 4 (7.5%) | 6 (19%) | |
| Resource | 10 (12%) | 8 (15%) | 2 (6.5%) | |
| Training | 4 (4.8%) | 3 (5.7%) | 1 (3.2%) | |
| Presentation | 3 (3.6%) | 0 (0%) | 3 (9.7%) | |
| Recommendation | 1 (1.2%) | 1 (1.9%) | 0 (0%) | |
| Web exposure | 1 (1.2%) | 0 (0%) | 1 (3.2%) | |
| Output led to action | 59 (72%) | 43 (83%) | 16 (53%) | 0.009 |
| Action actor | 0.091 | |||
| Other actor | 65 (68%) | 42 (76%) | 23 (57%) | |
| Tracking | 21 (22%) | 8 (15%) | 13 (32%) | |
| Both | 9 (9.5%) | 5 (9.1%) | 4 (10%) | |
| Other actors | 0.3 | |||
| State Goverment | 37 (45%) | 22 (43%) | 15 (48%) | |
| Local Government | 19 (23%) | 15 (29%) | 4 (13%) | |
| Community Members | 8 (9.8%) | 4 (7.8%) | 4 (13%) | |
| NGO or Non-profit | 5 (6.1%) | 2 (3.9%) | 3 (9.7%) | |
| Academic Institution | 4 (4.9%) | 4 (7.8%) | 0 (0%) | |
| Multiple | 3 (3.7%) | 2 (3.9%) | 1 (3.2%) | |
| Federal Government | 2 (2.4%) | 1 (2.0%) | 1 (3.2%) | |
| Unclear | 2 (2.4%) | 1 (2.0%) | 1 (3.2%) | |
| Media | 1 (1.2%) | 0 (0%) | 1 (3.2%) | |
| Private company | 1 (1.2%) | 0 (0%) | 1 (3.2%) | |
| Action category | 0.4 | |||
| Developed training, outreach campaign, or educational materials | 25 (26%) | 12 (22%) | 13 (32%) | |
| Improved data quality and access | 23 (24%) | 10 (18%) | 13 (32%) | |
| Improved or informed public health program or intervention | 13 (14%) | 9 (16%) | 4 (10%) | |
| Provided information in response to concern | 13 (14%) | 9 (16%) | 4 (10%) | |
| Informed impact assessment or city planning | 10 (11%) | 8 (15%) | 2 (5.0%) | |
| Identified potential source of exposure | 6 (6.3%) | 3 (5.5%) | 3 (7.5%) | |
| Inform new policy, legislation, or regulation | 2 (2.1%) | 2 (3.6%) | 0 (0%) | |
| Issued health alerts and advisories | 2 (2.1%) | 1 (1.8%) | 1 (2.5%) | |
| Implemented intervention to prevent exposures | 1 (1.1%) | 1 (1.8%) | 0 (0%) | |
| Impact evidence | 0.041 | |||
| Not yet | 58 (61%) | 39 (71%) | 19 (48%) | |
| No | 28 (29%) | 11 (20%) | 17 (42%) | |
| Yes | 9 (9.5%) | 5 (9.1%) | 4 (10%) | |
|
1
Statistics presented: n (%)
2
Statistical tests performed: chi-square test of independence; Fisher's exact test
|
||||